experiment-craft

What problem does it solve?

This Skill provides researchers with a repeatable, disciplined approach to diagnosing failing experiments and organizing systematic iteration logs, reducing wasted cycles and speeding insight generation.

Core Features & Use Cases

• 5-step diagnostic flow: collect failure cases, identify a working version, isolate the cause, hypothesize and verify, and propose fixes.
• Experiment logging templates: uses assets/experiment-log-template.md to record Purpose, Setting, Results, Analysis, and Next Steps for cross-cycle learning.
• Cross-cycle handoff: supports transfer of artifacts to downstream tasks like paper writing or review.

Quick Start

Describe the current experiment's failure, identify a working baseline, isolate the cause, hypothesize fixes, and draft the next steps using the templates.